Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 490718
Title Plant composition modulates arthropod pest and predatorabundance: Evidence for culling exotics and planting natives
Author(s) Parry, H.R.; Macfadyen, S.; Hopkinson, J.E.; Bianchi, F.J.J.A.; Zalucki, M.P.; Bourne, A.; Schellhorn, N.A.
Source Basic and Applied Ecology 16 (2015)6. - ISSN 1439-1791 - p. 531 - 543.
DOI https://doi.org/10.1016/j.baae.2015.05.005
Department(s) Farming Systems Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2015
Abstract We investigate the role of plant species in crops, pasture and native vegetation remnants in supporting agronomic pests and their predators. The study was conducted in three Australian States and across 290 sites sampled monthly for two years. Pastures played a key role in harbouring pest species consistent across States, while native vegetation hosted relatively more predators than other habitat types within each State. Furthermore, native plant species supported the lowest pest density and more predators than pests; in contrast, 75% of the exotic weed species surveyed hosted more pests than predators. Despite the role of pasture in harbouring pests, we found in NSW that pasture also supported the highest proportion of juvenile predators, while native vegetation remnants had the lowest. Our results indicate that non-crop habitat (native remnants or pasture) with few exotic weeds supports high predator and low pest arthropod densities, and that weeds are associated with high pest densities. By linking broad response variables such as ‘all pests’ with specific predictors such as ‘plant species’, our study will inform on-farm management actions of which weeds to control and which natives to plant or regenerate. This study shows the importance of knowing the function of habitats and plants species in supporting pests and predators in agricultural landscapes across multiple regions.
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